Postdoc Researcher Position in University of Zurich UZH Switzerland

Postdoc Position in Medical Data Science at Uni of Zurich, Switzerland 2022

Switzerland

Postdoc Position in Medical Data Science is available for doctoral degree candidates in computer science (focused on machine learning), optimization, statistics, applied math, computational biology or closely related discipline at Experimental Oncology Lab, University of Zurich, Switzerland 2022

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General Info

Position: Postdoc
No. of Positions: 1
Research Field: , , ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: Subject to Norms
Salary: According to standard norms

Workplace:
Experimental Oncology Lab

University of Zurich (UZH), Switzerland

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Qualification Details

  • PhD degree in computer science (focused on machine learning), optimization, statistics, applied math, computational biology or closely related discipline
  • Strong publication record with at least one first-author paper in top-tier conferences (such as NeurIPS, ICML, ACL, CVPR, AISTATS, AAAI, ICLR, etc.)
  • Proficient in Python and the scientific computing stack (SciPy, Numpy, Scikit- learn, pandas)
  • Proficient in one of the deep learning frameworks (PyTorch, Tensorflow)
  • Prior health- and biology- related computational work is a plus.

Responsibilities/Job Description

We are currently looking for a motivated PostDoc in Medical Data Science. The position is jointly funded by the Experimental Oncology Lab (Prof. Andreas Wicki) and is focused on clinical data science, particularly the development of advanced analytical methods (optimization, forecasting and counterfactual reasoning) for analyzing hospital data, including the analysis of historic cancer data with respect to treatment outcome and side effects.The PostDoc will be involved in other ongoing lab activities (particularly the supervision of junior lab members and some teaching activities). We offer an interdisciplinary research environment, the possibility to direct your own research, access to state-of-the-art computational resources infrastructure (further details are listed below) and a formidable place to grow academically.

How to Apply?

Application Method: Online Application
Ref. No.: -

Application Procedure

Basic documents required for the application

About the Employer:

Note or Other details

offer

  • Access to state-of-the-art infrastructure (computational resources), clinical datasets and medical expertise domain-knowledge (excellent medical doctors and research scientists)
  • Ability to make a real and tangible impact in healthcare research
  • Solve real-world problems and improve hospital-related processes and workflow
  • Stimulating research environment and a place to grow academically and professionally
  • Outstanding working conditions at the University of Zurich.

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Contact details

Claudia Stenger

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